Create app.py

app.py

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+import streamlit as st
+from huggingface_hub import InferenceClient
+
+# Initialize the client
+client = InferenceClient("mistralai/Mixtral-8x7B-Instruct-v0.1")
+
+# Function to format the prompt
+def format_prompt(message, history):
+    prompt = "<s>"
+    for user_prompt, bot_response in history:
+        prompt += f"[INST] {user_prompt} [/INST]"
+        prompt += f" {bot_response} "
+    prompt += f"[INST] {message} [/INST]"
+    return prompt
+
+# Function to generate response
+def generate(prompt, history, temperature=0.3, max_new_tokens=256, top_p=0.95, repetition_penalty=1.0):
+    temperature = max(float(temperature), 1e-2)
+    top_p = float(top_p)
+
+    generate_kwargs = dict(
+        temperature=temperature,
+        max_new_tokens=max_new_tokens,
+        top_p=top_p,
+        repetition_penalty=repetition_penalty,
+        do_sample=True,
+        seed=42,
+    )
+
+    formatted_prompt = format_prompt(prompt, history)
+
+    stream = client.text_generation(formatted_prompt, **generate_kwargs, stream=True, details=True, return_full_text=False)
+    output = ""
+    for response in stream:
+        output += response.token.text
+    return output
+
+# Streamlit interface
+st.title("Preguntale al Buho")
+
+# Chat history
+if 'history' not in st.session_state:
+    st.session_state.history = []
+
+# User input
+Entrada_usuario = st.text_input("Tu duda:", key="Entrada_usuario")
+
+# Generate response and update history
+if st.button("Enviar"):
+    if Entrada_usuario:
+        bot_response = generate(Entrada_usuario, st.session_state.history)
+        st.session_state.history.append((Entrada_usuario, bot_response))
+#        st.session_state.user_input = ""
+
+# Display conversation
+chat_text = ""
+for user_msg, bot_msg in st.session_state.history:
+    chat_text += f"Tu: {user_msg}\nBuhIA: {bot_msg}\n\n"
+st.text_area("La respuesta", value=chat_text, height=300, disabled=False)