Update app.py

app.py

@@ -1,27 +1,55 @@
-from fastapi import FastAPI
+import gradio as gr
 import google.generativeai as genai
 import os
 
-# Initialize FastAPI app
-app = FastAPI()
-
 # Load API key from Hugging Face Secrets
 GEMINI_API_KEY = os.getenv("GEMINI_API_KEY")
 genai.configure(api_key=GEMINI_API_KEY)
 
-@app.get("/")
-def home():
-    return {"message": "Welcome to Gemini FastAPI Wrapper!"}
-
-@app.get("/generate/")
-def generate_content(prompt: str):
-    try:
-        model = genai.GenerativeModel("gemini-1.5-flash")
-        response = model.generate_content(prompt)
-        return {"response": response.text}
-    except Exception as e:
-        return {"error": str(e)}
-
-
-
-
+def respond(
+    message,
+    history: list[tuple[str, str]],
+    system_message,
+    max_tokens,
+    temperature,
+    top_p,
+):
+    messages = [{"role": "system", "content": system_message}]
+
+    for val in history:
+        if val[0]:  # User message
+            messages.append({"role": "user", "content": val[0]})
+        if val[1]:  # Assistant response
+            messages.append({"role": "assistant", "content": val[1]})
+
+    messages.append({"role": "user", "content": message})
+
+    # Call Gemini API
+    model = genai.GenerativeModel("gemini-1.5-flash")
+    response = model.generate_content(message, stream=True)
+
+    output = ""
+    for chunk in response:
+        if chunk.text:
+            output += chunk.text
+            yield output  # Stream response in real-time
+
+# Gradio Interface
+demo = gr.ChatInterface(
+    respond,
+    additional_inputs=[
+        gr.Textbox(value="You are a friendly Chatbot.", label="System message"),
+        gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
+        gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),
+        gr.Slider(
+            minimum=0.1,
+            maximum=1.0,
+            value=0.95,
+            step=0.05,
+            label="Top-p (nucleus sampling)",
+        ),
+    ],
+)
+
+if __name__ == "__main__":
+    demo.launch()