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.env

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+MISTRAL_API = "5Tr1VHkHgUvXDDT1yH5N1O7kbhIiwJuc"

main.py

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+import os
+import gradio as gr
+from mistralai import Mistral, UserMessage
+from dotenv import load_dotenv, find_dotenv
+
+
+def chat_bot(user_input):
+    load_dotenv(find_dotenv())
+    miss_api_key = os.environ["MISTRAL_API"]
+    model = "mistral-small-latest"
+
+    client = Mistral(api_key=miss_api_key)
+
+    message = [{
+        "role": "user",
+        "content": user_input,
+    }, ]
+
+    chat_response = client.chat.complete(
+        model=model,
+        messages=message,
+    )
+    # response = client.create_chat_completion()
+    return chat_response.choices[0].message.content
+
+    # for chunk in client.chat.stream(model=model, messages=message):
+    # if "delta" in chunk.data.choices[0]:
+    #   if chunk.data.choices[0].delta.content:
+    #      print(chunk.data.choices[0].delta.content, end="")
+
+
+iface = gr.Interface(
+    fn=chat_bot,
+    inputs="text",
+    outputs="text",
+    description="Guides the website usage",
+    examples=[["How can you help me?"]],
+    title="Website Guide"
+)
+iface.launch()