Create ape.py

ape.py

@@ -0,0 +1,72 @@
+from langchain_anthropic import ChatAnthropic
+from langchain_cohere import ChatCohere
+from langchain_groq import ChatGroq
+from langchain_openai import ChatOpenAI
+from langchain_core.output_parsers import StrOutputParser
+from langchain_core.prompts import ChatPromptTemplate, MessagesPlaceholder
+from utils import Translation
+import time
+import gradio as gr
+
+NAME2CHAT = {"Cohere": ChatCohere, "claude-3-opus-20240229": ChatAnthropic, "claude-3-sonnet-20240229": ChatAnthropic, "claude-3-haiku-20240307": ChatAnthropic, "llama3-8b-8192": ChatGroq, "llama3-70b-8192": ChatGroq, "mixtral-8x7b-32768": ChatGroq, "gemma-7b-it": ChatGroq, "gpt-4o": ChatOpenAI, "gpt-3.5-turbo-0125": ChatOpenAI}
+NAME2APIKEY = {"Cohere": "COHERE_API_KEY", "claude-3-opus-20240229": "ANTHROPIC_API_KEY", "claude-3-sonnet-20240229": "ANTHROPIC_API_KEY", "claude-3-haiku-20240307": "ANTHROPIC_API_KEY", "llama3-8b-8192": "GROQ_API_KEY", "llama3-70b-8192": "GROQ_API_KEY", "mixtral-8x7b-32768": "GROQ_API_KEY", "gemma-7b-it": "GROQ_API_KEY", "gpt-4o": "OPENAI_API_KEY", "gpt-3.5-turbo-0125": "OPENAI_API_KEY"}
+parser = StrOutputParser()
+
+def reply(message, history, name, api_key, temperature, max_new_tokens, system_template):
+    global pdfdb
+    os.environ[NAME2APIKEY[name]]  = api_key
+    if name == "Cohere":
+        model = NAME2CHAT[name](temperature=temperature, max_tokens=max_new_tokens)
+    else:
+        model = NAME2CHAT[name](model=name,temperature=temperature, max_tokens=max_new_tokens)
+    prompt_template = ChatPromptTemplate.from_messages(
+    [("system", system_template), ("user", "{text}")]
+    )
+    chain = prompt_template | model | parser
+    txt = Translation(message, "en")
+    if txt.original == "en":
+        response = chain.invoke({"text": message})
+        r = ''
+        for c in response:
+            r+=c
+            time.sleep(0.001)
+            yield r
+            
+    else:
+        translation = txt.translatef()
+        response = chain.invoke({"text": message})
+        t = Translation(response, txt.original)
+        res = t.translatef()
+        r = ''
+        for c in res:
+            r+=c
+            time.sleep(0.001)
+            yield r
+    
+    
+    
+chat_model = gr.Dropdown(
+    [m for m in list(NAME2APIKEY)], label="Chat Model", info="Choose one of the available chat models"
+    )
+
+user_api_key = gr.Textbox(
+    label="API key",
+    info="Paste your API key here",
+    lines=1,
+    type="password",
+)
+
+user_temperature = gr.Slider(0, 1, value=0.5, label="Temperature", info="Select model temperature")
+
+user_max_new_tokens = gr.Slider(0, 8192, value=1024, label="Max new tokens", info="Select max output tokens (higher number of tokens will result in a longer latency)")
+
+user_session_id = gr.Textbox(label="System Template",info="Customize your assistant with your instructions",value="You are an helpful assistant")
+
+additional_accordion = gr.Accordion(label="Parameters to be set before you start chatting", open=True)
+
+demo = gr.ChatInterface(fn=reply, additional_inputs=[chat_model, user_api_key, user_temperature, user_max_new_tokens, user_session_id], additional_inputs_accordion=additional_accordion, title="Chat with Anthropic, OpenAI, Groq and Cohere Models🤖")
+
+
+if __name__=="__main__":
+    demo.launch(server_name="0.0.0.0", share=False)
+