Create app.py

app.py

@@ -0,0 +1,23 @@
+import gradio as gr
+from transformers import pipeline
+
+# Load the model pipeline
+generator = pipeline("text-generation", model="mistralai/Mistral-7B-Instruct-v0.1")
+
+# Define the function to generate proposal text
+def generate_proposal(client_description):
+    prompt = f"Generate a professional project proposal based on the following client request:\n\n{client_description}\n\nProposal:"
+    result = generator(prompt, max_length=512, do_sample=True, temperature=0.7)
+    return result[0]['generated_text']
+
+# Build the Gradio interface
+iface = gr.Interface(
+    fn=generate_proposal,
+    inputs=gr.Textbox(label="Client Requirement", placeholder="Describe the project or client needs here...", lines=5),
+    outputs=gr.Textbox(label="Generated Proposal", lines=15),
+    title="AI Proposal Generator",
+    description="This app uses Mistral-7B to generate business proposals based on client input."
+)
+
+# Launch the app
+iface.launch()