Create app.py

app.py

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+import gradio as gr
+import requests
+import os
+
+HF_API_TOKEN = os.getenv("HF_API_TOKEN")
+MODEL = "microsoft/Phi-3-mini-128k-instruct"
+
+# -------------------------
+# Core function: call HF API
+# -------------------------
+def query_llm(tweet, mode):
+    prompt = f"Text: {tweet}\n\n"
+    if mode == "simple":
+        prompt += "Task: Is the above TEXT toxic? First clearly state your decision. Then, provide specific reason(s) for your decision. If there is more than one reason, provide them in a numbered list."
+    else:
+        prompt += "Task: Is the above TEXT toxic? First clearly state your decision. Then, provide specific reason(s) for your decision. If there is more than one reason, provide them in a numbered list. Your reason(s) must be non-redundant and jointly sufficient to justify your decision. In other words, there should not be any internal or external information unused in your explanation."
+    
+    headers = {"Authorization": f"Bearer {HF_API_TOKEN}"}
+    response = requests.post(
+        f"https://api-inference.huggingface.co/models/{MODEL}",
+        headers=headers,
+        json={"inputs": prompt}
+    )
+    try:
+        out = response.json()
+        return out[0]["generated_text"] if isinstance(out, list) else str(out)
+    except Exception as e:
+        return f"Error: {str(e)}"
+
+
+# -------------------------
+# Preloaded tweets
+# -------------------------
+preloaded_tweets = [
+    "People from the outside must look at us and think 'what stupid people, what are they doing?",
+    "Donald Trump was responding to comments from Prime Minister David Cameron, who called his proposal to temporarily ban all Muslims from the United States divisive, stupid and wrong.,
+    "Every binder should have a warning label on it that says CAUTION: BORING SHIT INSIDE.",
+    "If you want to call me a bitch, call me a bitch, but that's just kind of stupid",
+    "I want to just have laughs on the internet, not have fucking twelve year olds intruding into my personal life.",
+    "Today I sit down with him to talk about his forthcoming book Writing Without Bullshit: Boost Your Career by Saying What You Mean."
+]
+
+
+# -------------------------
+# Gradio Blocks UI
+# -------------------------
+with gr.Blocks(title="Tweet Explainer") as demo:
+    gr.Markdown("## 🐦 Tweet Explainer")
+    gr.Markdown("Select a tweet from the list or enter your own, then view two explanations on the right.")
+
+    with gr.Row():
+        # Left pane
+        with gr.Column(scale=1):
+            gr.Markdown("### Select or Enter a Tweet")
+
+            tweet_list = gr.Dropdown(preloaded_tweets, label="Choose a tweet")
+            custom_tweet = gr.Textbox(
+                placeholder="Or enter your own tweet here...",
+                lines=3,
+                label="Custom Tweet"
+            )
+
+            # Button to confirm selection
+            submit_btn = gr.Button("Use this Tweet")
+
+        # Right pane
+        with gr.Column(scale=2):
+            gr.Markdown("### Explanations")
+
+            with gr.Tab("Simple Explanation"):
+                simple_output = gr.Textbox(label="Simple", lines=5)
+            
+            with gr.Tab("Detailed Explanation"):
+                detailed_output = gr.Textbox(label="Detailed", lines=8)
+
+    # -------------------------
+    # Logic: when user clicks button
+    # -------------------------
+    def process_tweet(selected, custom):
+        tweet = custom.strip() if custom else selected
+        if not tweet:
+            return "Please enter or select a tweet!", "Please enter or select a tweet!"
+        
+        simple = query_llm(tweet, "simple")
+        detailed = query_llm(tweet, "detailed")
+        return simple, detailed
+
+    submit_btn.click(
+        process_tweet,
+        inputs=[tweet_list, custom_tweet],
+        outputs=[simple_output, detailed_output]
+    )
+
+
+# Run app
+demo.launch()