gp3 with stocky

Main.py

@@ -0,0 +1,37 @@
+import streamlit as st
+from model import GeneralModel
+
+
+def app():
+
+    # Creating an object of prediction service
+    pred = GeneralModel()
+
+    api_key = st.sidebar.text_input("APIkey", type="password")
+    # Using the streamlit cache
+    @st.cache
+    def process_prompt(input):
+
+        return pred.model_prediction(input=input.strip() , api_key=api_key)
+
+    if api_key:
+
+        # Setting up the Title
+        st.title("Escritor GPT-3")
+
+        # st.write("---")
+
+        s_example = "Escriba un ensayo argumentativo a favor de los vouchers escolares"
+        input = st.text_area(
+            "Use el ejemplo de abajo o escriba su propio texto en español",
+            value=s_example,
+            max_chars=1250,
+            height=50,
+        )
+
+        if st.button("Submit"):
+            with st.spinner(text="In progress"):
+                report_text = process_prompt(input)
+                st.markdown(report_text)
+    else:
+        st.error("🔑 Please enter API Key")

README.md

@@ -4,7 +4,7 @@ emoji: 🐟
 colorFrom: blue
 colorTo: red
 sdk: streamlit
-sdk_version: 1.15.2
+sdk_version: 1.11.0
 app_file: app.py
 pinned: false
 license: gpl-3.0

app.StockfishGradiopy.py

@@ -0,0 +1,32 @@
+###from stockfish import Stockfish
+
+###stockfish = Stockfish(path="/stockfish/stockfish-9-64")
+import gradio as gr
+import os
+import chess
+import chess.engine
+import stat
+
+
+
+def eval(fenstring):
+    output = ""
+    os.chmod("./stockfish_14_x64_popcnt",0o0777)
+    engine = chess.engine.SimpleEngine.popen_uci("./stockfish_14_x64_popcnt")
+
+   
+    # Score: PovScore(Cp(+20), WHITE)
+
+    board = chess.Board(fenstring)
+    
+    info = engine.analyse(board, chess.engine.Limit(depth=20),multipv=3)
+    
+    
+    # Score: PovScore(Mate(+1), WHITE)
+    
+    engine.quit()
+    return info
+iface = gr.Interface(fn=eval, title="Stockfish chessboard eval",
+                    description="Stockfish 14 chess evaluation using pychess engine component. Enter in fen string to get the board eval and the 3 best moves with continuations\
+       Stockfish 15 would not execute in huggingface due to glibc", inputs="text", outputs="text")
+iface.launch()

app.py

@@ -0,0 +1,6 @@
+import Main
+import streamlit as st
+
+st.set_page_config(page_title="Escritor GPT-3", page_icon=":shark:", layout="wide")
+
+Main.app()

model.py

@@ -0,0 +1,52 @@
+import openai
+
+poem = """Escriba lo que se le pide: 
+---
+{input}
+---
+Este es el resultado: """
+
+def set_openai_key(key):
+    """Sets OpenAI key."""
+    openai.api_key = key
+
+class GeneralModel:
+    def __init__(self):
+        print("Model Intilization--->")
+        # set_openai_key(API_KEY)
+
+    def query(self, prompt, myKwargs={}):
+        """
+        wrapper for the API to save the prompt and the result
+        """
+
+        # arguments to send the API
+        kwargs = {
+            "engine": "text-davinci-002",
+            "temperature": 0.85,
+            "max_tokens": 2400,
+            "best_of": 1,
+            "top_p": 1,
+            "frequency_penalty": 0.5,
+            "presence_penalty": 0.5,
+            "stop": ["###"],
+        }
+
+
+        for kwarg in myKwargs:
+            kwargs[kwarg] = myKwargs[kwarg]
+
+
+        r = openai.Completion.create(prompt=prompt, **kwargs)["choices"][0][
+            "text"
+        ].strip()
+        return r
+
+    def model_prediction(self, input, api_key):
+        """
+        wrapper for the API to save the prompt and the result
+        """
+        # Setting the OpenAI API key got from the OpenAI dashboard
+        set_openai_key(api_key)
+        output = self.query(poem.format(input = input))
+        return output 

packages.txt

@@ -0,0 +1 @@
+libtk8.6

requirements 2.txt

@@ -0,0 +1,2 @@
+openai==0.22.0
+streamlit==1.11.0

requirements.txt

@@ -0,0 +1,4 @@
+stockfish
+chess
+openai==0.22.0
+streamlit==1.11.0