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Update app.py
Browse files
app.py
CHANGED
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@@ -82,9 +82,11 @@ def extract_key_frames(video_file: str, key_frames_response: str) -> list:
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# Strip Markdown code block if present
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cleaned_response = key_frames_response.strip()
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if cleaned_response.startswith("```json") and cleaned_response.endswith("```"):
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cleaned_response = cleaned_response[7:-3].strip()
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elif cleaned_response.startswith("```") and cleaned_response.endswith("```"):
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cleaned_response = cleaned_response[3:-3].strip()
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try:
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# Try parsing as JSON
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@@ -92,15 +94,21 @@ def extract_key_frames(video_file: str, key_frames_response: str) -> list:
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if not isinstance(key_frames, list):
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raise ValueError("Response is not a list.")
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except json.JSONDecodeError as e:
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print(f"JSON parsing failed: {str(e)}.
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# Fallback:
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key_frames = []
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lines =
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for line in lines:
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if " - " in line:
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timestamp, title = line.split(" - ", 1)
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key_frames.append({"timecode": timestamp.strip(), "title": title.strip()})
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elif ":" in line and len(line.split(":")) ==
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key_frames.append({"timecode": line.strip(), "title": "Untitled"})
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for frame in key_frames:
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@@ -155,11 +163,26 @@ def analyze_video(video_file: str, user_query: str) -> tuple[str, list]:
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summary = summary_response.text
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# Step 2: Extract key frames
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key_frames_prompt = (
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"Identify key frames in this video and return them as a JSON array. "
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"Each object must have 'timecode' (in HH:MM:SS format) and 'title' describing the scene. "
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"Ensure the response is valid JSON."
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)
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if user_query:
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key_frames_prompt += f" Focus on: {user_query}"
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@@ -170,7 +193,7 @@ def analyze_video(video_file: str, user_query: str) -> tuple[str, list]:
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key_frames = extract_key_frames(video_file, key_frames_response.text)
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# Generate Markdown report
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markdown_report = (
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"## Video Analysis Report\n\n"
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f"**Summary:**\n{summary}\n"
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@@ -180,7 +203,7 @@ def analyze_video(video_file: str, user_query: str) -> tuple[str, list]:
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for i, (_, caption) in enumerate(key_frames, 1):
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markdown_report += f"- Frame {i}: {caption}\n"
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else:
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markdown_report += "\n*No key frames extracted.
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return markdown_report, key_frames
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# Strip Markdown code block if present
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cleaned_response = key_frames_response.strip()
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if cleaned_response.startswith("```json") and cleaned_response.endswith("```"):
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cleaned_response = cleaned_response[7:-3].strip()
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elif cleaned_response.startswith("```") and cleaned_response.endswith("```"):
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cleaned_response = cleaned_response[3:-3].strip()
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print(f"Cleaned key frames response: {cleaned_response}") # Debug output
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try:
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# Try parsing as JSON
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if not isinstance(key_frames, list):
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raise ValueError("Response is not a list.")
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except json.JSONDecodeError as e:
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print(f"JSON parsing failed: {str(e)}. Falling back to text parsing.")
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# Fallback: Parse plain text with timecodes (e.g., "00:00:03 - Scene" or "00:00:03: Scene")
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key_frames = []
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lines = cleaned_response.strip().split("\n")
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for line in lines:
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line = line.strip()
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if not line:
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continue
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if " - " in line:
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timestamp, title = line.split(" - ", 1)
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key_frames.append({"timecode": timestamp.strip(), "title": title.strip()})
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elif ": " in line and len(line.split(":")[0]) == 2: # Check for HH:MM:SS format
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timestamp, title = line.split(": ", 1)
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key_frames.append({"timecode": timestamp.strip(), "title": title.strip()})
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elif len(line.split(":")) == 3: # Rough check for standalone HH:MM:SS
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key_frames.append({"timecode": line.strip(), "title": "Untitled"})
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for frame in key_frames:
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)
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summary = summary_response.text
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# Step 2: Extract key frames with few-shot examples
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key_frames_prompt = (
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"Identify key frames in this video and return them as a JSON array. "
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"Each object must have 'timecode' (in HH:MM:SS format) and 'title' describing the scene. "
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"Ensure the response is valid JSON. Here are examples of the expected format:\n"
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"Example 1: For a video of a car chase:\n"
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"```json\n"
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"[\n"
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" {\"timecode\": \"00:00:00\", \"title\": \"Car chase begins on highway\"},\n"
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" {\"timecode\": \"00:00:10\", \"title\": \"Police car joins pursuit\"}\n"
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"]\n"
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"```\n"
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"Example 2: For a nature video:\n"
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"```json\n"
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"[\n"
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" {\"timecode\": \"00:00:05\", \"title\": \"Bird flies across screen\"},\n"
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" {\"timecode\": \"00:00:15\", \"title\": \"Deer appears in forest\"}\n"
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"]\n"
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"```\n"
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"Now, provide the key frames for this video in the same JSON format."
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)
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if user_query:
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key_frames_prompt += f" Focus on: {user_query}"
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)
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key_frames = extract_key_frames(video_file, key_frames_response.text)
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# Generate Markdown report
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markdown_report = (
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"## Video Analysis Report\n\n"
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f"**Summary:**\n{summary}\n"
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for i, (_, caption) in enumerate(key_frames, 1):
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markdown_report += f"- Frame {i}: {caption}\n"
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else:
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markdown_report += "\n*No key frames extracted. Check the console for the raw response.*\n"
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return markdown_report, key_frames
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