Create app.py

app.py

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+import gradio as gr
+import requests
+
+history = []  # Initialize an empty list to store conversation history
+
+def chat_with_model(prompt,context):
+    # Ensure this URL matches your FastAPI configuration
+    global history
+    url = "http://43.205.120.87/chat"
+ #   print(history)
+    response = requests.get(url, json={"prompt": prompt, "history": history})
+
+    if response.status_code == 200:
+        data = response.json()
+        history.append({"role": "user", "content": prompt})  # Add user's prompt to history
+        history.append({"role": "assistant", "content": data["response"]})  # Add bot's response to history
+        return data["response"]
+    else:
+        return "Error communicating with the backend."
+
+# Defining the Gradio interface
+iface = gr.ChatInterface(fn=chat_with_model,
+                     textbox=gr.Textbox(placeholder="Type your message here..."),
+                     #outputs=gr.Textbox(label="Chatbot's response"),
+                     title="Akhil's Chatbot (powered by GPT-3.5 Turbo)",
+                     theme='HaleyCH/HaleyCH_Theme',
+                    # allow_flagging="never",
+                     #                   css=custom_css,
+                     description="Type your prompt and get a response from GPT-3.5 Turbo!")
+iface.launch(share=True)