Create app.py

app.py

@@ -0,0 +1,88 @@
+import streamlit as st
+from huggingface_hub import InferenceClient
+import os
+
+client = InferenceClient("mistralai/Mistral-7B-Instruct-v0.3")
+
+secret_prompt = os.getenv("SECRET_PROMPT")
+
+def format_prompt(message, history):
+    prompt = secret_prompt
+    for user_prompt, bot_response in history:
+        prompt += f"[INST] {user_prompt} [/INST]"
+        prompt += f" {bot_response}</s> "
+    prompt += f"[INST] {message} [/INST]"
+    return prompt
+
+def generate(prompt, history, temperature=0.9, max_new_tokens=256, top_p=0.95, repetition_penalty=1.0):
+    temperature = float(temperature)
+    if temperature < 1e-2:
+        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
+        yield output
+    return output
+
+st.title("Einfach.Mistral 7B v0.3")
+
+history = []
+
+with st.sidebar:
+    temperature = st.slider(
+        "Temperature",
+        value=0.9,
+        min_value=0.0,
+        max_value=1.0,
+        step=0.05,
+        help="Higher values produce more diverse outputs",
+    )
+    max_new_tokens = st.slider(
+        "Max new tokens",
+        value=256,
+        min_value=0,
+        max_value=1048,
+        step=64,
+        help="The maximum numbers of new tokens",
+    )
+    top_p = st.slider(
+        "Top-p (nucleus sampling)",
+        value=0.90,
+        min_value=0.0,
+        max_value=1.0,
+        step=0.05,
+        help="Higher values sample more low-probability tokens",
+    )
+    repetition_penalty = st.slider(
+        "Repetition penalty",
+        value=1.2,
+        min_value=1.0,
+        max_value=2.0,
+        step=0.05,
+        help="Penalize repeated tokens",
+    )
+
+message = st.text_input("Your message:", "")
+
+if st.button("Generate"):
+    if message:
+        for output in generate(message, history, temperature, max_new_tokens, top_p, repetition_penalty):
+            st.text_area("Generated Text", value=output, height=400)
+        history.append((message, output))
+    else:
+        st.warning("Please enter a message.")