TestingXperts
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Commit
•
75287af
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Parent(s):
8b555c7
Upload 12 files
Browse files- app.py +333 -0
- db/chroma-collections.parquet +3 -0
- db/chroma-embeddings.parquet +3 -0
- db/index/id_to_uuid_b87fed10-6865-4f48-a7d0-62a535bc5ee3.pkl +3 -0
- db/index/index_b87fed10-6865-4f48-a7d0-62a535bc5ee3.bin +3 -0
- db/index/index_metadata_b87fed10-6865-4f48-a7d0-62a535bc5ee3.pkl +3 -0
- db/index/uuid_to_id_b87fed10-6865-4f48-a7d0-62a535bc5ee3.pkl +3 -0
- env +1 -0
- gptcall.py +33 -0
- models/koala-7B.ggmlv3.q4_K_S.bin +3 -0
- requirements.txt +5 -0
- test.env +3 -0
app.py
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1 |
+
import gradio as gr
|
2 |
+
from langchain.callbacks.streaming_stdout import StreamingStdOutCallbackHandler
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3 |
+
from langchain.chains import RetrievalQA
|
4 |
+
from langchain.embeddings import LlamaCppEmbeddings
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5 |
+
from langchain.llms import GPT4All, LlamaCpp
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6 |
+
from langchain.vectorstores import Chroma
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7 |
+
from dotenv import load_dotenv
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8 |
+
import os
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9 |
+
from langchain.embeddings import HuggingFaceEmbeddings
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10 |
+
load_dotenv()
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11 |
+
from constants import CHROMA_SETTINGS
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12 |
+
import openai
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13 |
+
#from langchain_community.embeddings import HuggingFaceInferenceAPIEmbeddings
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14 |
+
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15 |
+
from gptcall import generate
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16 |
+
#from yy_main import return_qa
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17 |
+
# Set your OpenAI API key
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18 |
+
api_key = os.environ.get('OPEN_AI_KEY') # Replace with your actual API key
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19 |
+
openai.api_key = api_key
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20 |
+
'''
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21 |
+
def ask_gpt3(question):
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22 |
+
response = openai.Completion.create(
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23 |
+
engine="gpt-3.5-turbo",
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24 |
+
prompt=question,
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25 |
+
max_tokens=50
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26 |
+
)
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27 |
+
return response.choices[0].text.strip()
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28 |
+
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29 |
+
def generate(prompt):
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30 |
+
try:
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31 |
+
response = openai.ChatCompletion.create(
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32 |
+
model="gpt-3.5-turbo",
|
33 |
+
messages=[
|
34 |
+
{"role": "system", "content": "You are a helpful assistant."},
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35 |
+
{"role": "user", "content": prompt}
|
36 |
+
],
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37 |
+
max_tokens=1000,
|
38 |
+
temperature=0.9
|
39 |
+
)
|
40 |
+
return response['choices'][0]['message']['content']
|
41 |
+
except Exception as e:
|
42 |
+
return str(e)
|
43 |
+
'''
|
44 |
+
hf = os.environ.get("HF_TOKEN")
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45 |
+
embeddings_model_name = os.environ.get("EMBEDDINGS_MODEL_NAME")
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46 |
+
persist_directory = os.environ.get('PERSIST_DIRECTORY')
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47 |
+
|
48 |
+
model_type = os.environ.get('MODEL_TYPE')
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49 |
+
model_path = os.environ.get('MODEL_PATH')
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50 |
+
model_n_ctx = os.environ.get('MODEL_N_CTX')
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51 |
+
target_source_chunks = int(os.environ.get('TARGET_SOURCE_CHUNKS',4))
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52 |
+
server_error_msg = "**NETWORK ERROR DUE TO HIGH TRAFFIC. PLEASE REGENERATE OR REFRESH THIS PAGE.**"
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53 |
+
|
54 |
+
def clear_history(request: gr.Request):
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55 |
+
state = None
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56 |
+
return ([], state, "")
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57 |
+
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58 |
+
def post_process_code(code):
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59 |
+
sep = "\n```"
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60 |
+
if sep in code:
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61 |
+
blocks = code.split(sep)
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62 |
+
if len(blocks) % 2 == 1:
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63 |
+
for i in range(1, len(blocks), 2):
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64 |
+
blocks[i] = blocks[i].replace("\\_", "_")
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65 |
+
code = sep.join(blocks)
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66 |
+
return code
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67 |
+
|
68 |
+
def post_process_answer(answer):
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69 |
+
answer += f"<br><br>"
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70 |
+
answer = answer.replace("\n", "<br>")
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71 |
+
return answer
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72 |
+
|
73 |
+
def predict(
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74 |
+
question: str,
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75 |
+
system_content: str,
|
76 |
+
use_api: bool,
|
77 |
+
chatbot: list = [],
|
78 |
+
history: list = [],
|
79 |
+
):
|
80 |
+
try:
|
81 |
+
if use_api: # Check if API call is requested
|
82 |
+
history.append(question)
|
83 |
+
answer = generate(question)
|
84 |
+
history.append(answer)
|
85 |
+
else:
|
86 |
+
model_n_ctx = 2048
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87 |
+
print(" print state in order", system_content, persist_directory, model_type, model_path, model_n_ctx, chatbot, history)
|
88 |
+
print("going inside embedding dunction",embeddings_model_name)
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89 |
+
embeddings = HuggingFaceEmbeddings(model_name=embeddings_model_name)
|
90 |
+
|
91 |
+
#embeddings = HuggingFaceInferenceAPIEmbeddings(api_key=hf, model_name="sentence-transformers/all-MiniLM-l6-v2")
|
92 |
+
db = Chroma(persist_directory=persist_directory, embedding_function=embeddings, client_settings=CHROMA_SETTINGS)
|
93 |
+
retriever = db.as_retriever(search_kwargs={"k": target_source_chunks})
|
94 |
+
# Prepare the LLM
|
95 |
+
callbacks = [StreamingStdOutCallbackHandler()]
|
96 |
+
|
97 |
+
if model_type == "LlamaCpp":
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98 |
+
llm = LlamaCpp(model_path=model_path, n_ctx=model_n_ctx, n_threads=6, n_gpu_layers=12, callbacks=callbacks, verbose=False)
|
99 |
+
elif model_type == "GPT4All":
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100 |
+
llm = GPT4All(model=model_path, n_ctx=2048, backend='gptj', callbacks=callbacks, n_batch=8, verbose=False)
|
101 |
+
else:
|
102 |
+
print(f"Model {model_type} not supported!")
|
103 |
+
exit()
|
104 |
+
|
105 |
+
qa = RetrievalQA.from_chain_type(llm=llm, chain_type="stuff", retriever=retriever, return_source_documents=False)
|
106 |
+
|
107 |
+
# Get the answer from the chain
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108 |
+
prompt = system_content + f"\n Question: {question}"
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109 |
+
res = qa(prompt)
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110 |
+
print(res)
|
111 |
+
answer = res['result']
|
112 |
+
answer = post_process_answer(answer)
|
113 |
+
history.append(question)
|
114 |
+
history.append(answer)
|
115 |
+
|
116 |
+
# Ensure history has an even number of elements
|
117 |
+
if len(history) % 2 != 0:
|
118 |
+
history.append("")
|
119 |
+
|
120 |
+
chatbot = [(history[i], history[i + 1]) for i in range(0, len(history), 2)]
|
121 |
+
return chatbot, history
|
122 |
+
|
123 |
+
except Exception as e:
|
124 |
+
history.append("")
|
125 |
+
answer = server_error_msg + f" (error_code: 503)"
|
126 |
+
history.append(answer)
|
127 |
+
|
128 |
+
# Ensure history has an even number of elements
|
129 |
+
if len(history) % 2 != 0:
|
130 |
+
history.append("")
|
131 |
+
|
132 |
+
chatbot = [(history[i], history[i + 1]) for i in range(0, len(history), 2)]
|
133 |
+
return chatbot, history
|
134 |
+
|
135 |
+
|
136 |
+
|
137 |
+
def reset_textbox(): return gr.update(value="")
|
138 |
+
|
139 |
+
llama_embeddings_model = "models/ggml-model-q4_0.bin"
|
140 |
+
|
141 |
+
def main():
|
142 |
+
title = """
|
143 |
+
<h1 align="center">Chat with TxGpt 🤖</h1>"""
|
144 |
+
|
145 |
+
css = """
|
146 |
+
@import url('https://fonts.googleapis.com/css2?family=Poppins:wght@400;700&display=swap');
|
147 |
+
|
148 |
+
/* Hide the footer */
|
149 |
+
footer .svelte-1lyswbr {
|
150 |
+
display: none !important;
|
151 |
+
}
|
152 |
+
|
153 |
+
/* Center the column container */
|
154 |
+
#prompt_container {
|
155 |
+
margin-left: auto;
|
156 |
+
margin-right: auto;
|
157 |
+
background: linear-gradient(to right, #48c6ef, #6f86d6); /* Gradient background */
|
158 |
+
padding: 20px; /* Decreased padding */
|
159 |
+
border-radius: 10px;
|
160 |
+
box-shadow: 0 4px 8px rgba(0, 0, 0, 0.1);
|
161 |
+
color: black;
|
162 |
+
font-family: 'Poppins', sans-serif; /* Poppins font */
|
163 |
+
font-weight: 600; /* Bold font */
|
164 |
+
resize: none;
|
165 |
+
font-size: 18px;
|
166 |
+
}
|
167 |
+
|
168 |
+
/* Chatbot container styling */
|
169 |
+
#chatbot_container {
|
170 |
+
margin: 0 auto; /* Remove left and right margins */
|
171 |
+
max-width: 80%; /* Adjust the maximum width as needed */
|
172 |
+
background: linear-gradient(to right, #ff7e5f, #feb47b); /* Gradient background */
|
173 |
+
padding: 20px;
|
174 |
+
border-radius: 10px;
|
175 |
+
box-shadow: 0 4px 8px rgba(0, 0, 0, 0.1);
|
176 |
+
}
|
177 |
+
|
178 |
+
/* Chatbot message area styling */
|
179 |
+
#chatbot .wrap.svelte-13f7djk {
|
180 |
+
height: 60vh; /* Adjusted height */
|
181 |
+
max-height: 60vh; /* Adjusted height */
|
182 |
+
border: 2px solid #007bff;
|
183 |
+
border-radius: 10px;
|
184 |
+
overflow-y: auto;
|
185 |
+
padding: 20px;
|
186 |
+
background-color: #e9f5ff;
|
187 |
+
}
|
188 |
+
|
189 |
+
/* User message styling */
|
190 |
+
#chatbot .message.user.svelte-13f7djk.svelte-13f7djk {
|
191 |
+
width: fit-content;
|
192 |
+
background: #007bff;
|
193 |
+
color: white;
|
194 |
+
border-bottom-right-radius: 0;
|
195 |
+
border-top-left-radius: 10px;
|
196 |
+
border-top-right-radius: 10px;
|
197 |
+
border-bottom-left-radius: 10px;
|
198 |
+
margin-bottom: 10px;
|
199 |
+
padding: 10px 15px;
|
200 |
+
font-size: 14px;
|
201 |
+
font-family: 'Poppins', sans-serif; /* Poppins font */
|
202 |
+
font-weight: 700; /* Bold font */
|
203 |
+
box-shadow: 0 4px 8px rgba(0, 0, 0, 0.2);
|
204 |
+
}
|
205 |
+
|
206 |
+
/* Bot message styling */
|
207 |
+
#chatbot .message.bot.svelte-13f7djk.svelte-13f7djk {
|
208 |
+
width: fit-content;
|
209 |
+
background: #e1e1e1;
|
210 |
+
color: black;
|
211 |
+
border-bottom-left-radius: 0;
|
212 |
+
border-top-right-radius: 10px;
|
213 |
+
border-top-left-radius: 10px;
|
214 |
+
border-bottom-right-radius: 10px;
|
215 |
+
margin-bottom: 10px;
|
216 |
+
padding: 10px 15px;
|
217 |
+
font-size: 14px;
|
218 |
+
font-family: 'Poppins', sans-serif; /* Poppins font */
|
219 |
+
font-weight: 700; /* Bold font */
|
220 |
+
box-shadow: 0 4px 8px rgba(0, 0, 0, 0.2);
|
221 |
+
}
|
222 |
+
|
223 |
+
/* Preformatted text styling */
|
224 |
+
#chatbot .pre {
|
225 |
+
border: 2px solid #f1f1f1;
|
226 |
+
padding: 10px;
|
227 |
+
border-radius: 5px;
|
228 |
+
background-color: #ffffff;
|
229 |
+
box-shadow: 0 4px 8px rgba(0, 0, 0, 0.05);
|
230 |
+
font-family: 'Poppins', sans-serif; /* Poppins font */
|
231 |
+
font-size: 14px;
|
232 |
+
font-weight: 400; /* Regular font */
|
233 |
+
}
|
234 |
+
|
235 |
+
/* General preformatted text styling */
|
236 |
+
pre {
|
237 |
+
white-space: pre-wrap; /* Since CSS 2.1 */
|
238 |
+
white-space: -moz-pre-wrap; /* Mozilla, since 1999 */
|
239 |
+
white-space: -pre-wrap; /* Opera 4-6 */
|
240 |
+
white-space: -o-pre-wrap; /* Opera 7 */
|
241 |
+
word-wrap: break-word; /* Internet Explorer 5.5+ */
|
242 |
+
font-family: 'Poppins', sans-serif; /* Poppins font */
|
243 |
+
font-size: 14px;
|
244 |
+
font-weight: 400; /* Regular font */
|
245 |
+
line-height: 1.5;
|
246 |
+
color: #333;
|
247 |
+
background-color: #f8f9fa;
|
248 |
+
padding: 10px;
|
249 |
+
border-radius: 5px;
|
250 |
+
}
|
251 |
+
|
252 |
+
/* Styling for accordion sections */
|
253 |
+
.accordion.svelte-1lyswbr {
|
254 |
+
background-color: #e9f5ff; /* Light blue background for accordions */
|
255 |
+
border: 1px solid #007bff;
|
256 |
+
border-radius: 10px;
|
257 |
+
padding: 10px;
|
258 |
+
box-shadow: 0 4px 8px rgba(0, 0, 0, 0.1);
|
259 |
+
resize: both;
|
260 |
+
}
|
261 |
+
|
262 |
+
/* Prompt styling */
|
263 |
+
#prompt_title {
|
264 |
+
font-size: 24px;
|
265 |
+
margin-bottom: 10px;
|
266 |
+
resize= none;
|
267 |
+
}
|
268 |
+
|
269 |
+
/* Styling for Copy button */
|
270 |
+
.copy_button {
|
271 |
+
display: inline-block;
|
272 |
+
padding: 5px 10px;
|
273 |
+
margin: 5px 0;
|
274 |
+
font-size: 14px;
|
275 |
+
cursor: pointer;
|
276 |
+
color: #007bff;
|
277 |
+
border: 1px solid #007bff;
|
278 |
+
border-radius: 5px;
|
279 |
+
background-color: #ffffff;
|
280 |
+
transition: background-color 0.3s;
|
281 |
+
}
|
282 |
+
|
283 |
+
.copy_button:hover {
|
284 |
+
background-color: #007bff;
|
285 |
+
color: #ffffff;
|
286 |
+
}
|
287 |
+
"""
|
288 |
+
with gr.Blocks(css=css) as demo:
|
289 |
+
gr.HTML(title)
|
290 |
+
with gr.Row():
|
291 |
+
with gr.Column(elem_id="prompt_container", scale=0.3): # Separate column for prompt
|
292 |
+
with gr.Accordion("Description", open=True):
|
293 |
+
system_content = gr.Textbox(value="TxGpt talk to your local documents without internet. If you need information on public data, please enable the ChatGpt checkbox and start querying!",show_label=False,lines=5)
|
294 |
+
|
295 |
+
with gr.Column(elem_id="chatbot_container", scale=0.7): # Right column for chatbot interface
|
296 |
+
chatbot = gr.Chatbot(elem_id="chatbot", label="TxGpt")
|
297 |
+
question = gr.Textbox(placeholder="Ask something", show_label=False, value="")
|
298 |
+
state = gr.State([])
|
299 |
+
use_api_toggle = gr.Checkbox(label="Enable ChatGpt", default=False, key="use_api")
|
300 |
+
with gr.Row():
|
301 |
+
with gr.Column():
|
302 |
+
submit_btn = gr.Button(value="🚀 Send")
|
303 |
+
with gr.Column():
|
304 |
+
clear_btn = gr.Button(value="🗑️ Clear history")
|
305 |
+
|
306 |
+
question.submit(
|
307 |
+
predict,
|
308 |
+
[question, system_content, use_api_toggle, chatbot, state],
|
309 |
+
[chatbot, state],
|
310 |
+
)
|
311 |
+
submit_btn.click(
|
312 |
+
predict,
|
313 |
+
[question, system_content, chatbot, state],
|
314 |
+
[chatbot, state],
|
315 |
+
)
|
316 |
+
submit_btn.click(reset_textbox, [], [question])
|
317 |
+
clear_btn.click(clear_history, None, [chatbot, state, question])
|
318 |
+
question.submit(reset_textbox, [], [question])
|
319 |
+
demo.queue(concurrency_count=10, status_update_rate="auto")
|
320 |
+
#demo.launch(server_name=args.server_name, server_port=args.server_port, share=args.share, debug=args.debug)
|
321 |
+
demo.launch(share=True, server_name='192.168.6.78')
|
322 |
+
|
323 |
+
if __name__ == '__main__':
|
324 |
+
""" import argparse
|
325 |
+
parser = argparse.ArgumentParser()
|
326 |
+
parser.add_argument("--server-name", default="0.0.0.0")
|
327 |
+
parser.add_argument("--server-port", default=8071)
|
328 |
+
parser.add_argument("--share", action="store_true")
|
329 |
+
parser.add_argument("--debug", action="store_true")
|
330 |
+
parser.add_argument("--verbose", action="store_true")
|
331 |
+
args = parser.parse_args() """
|
332 |
+
|
333 |
+
main()
|
db/chroma-collections.parquet
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:e8db8fa20fc636b0c35551a8af8717a37b8bb0d48e90810f4dce0a402d357206
|
3 |
+
size 557
|
db/chroma-embeddings.parquet
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:9d4c722bb6bf6e718de047b077b54df22468e091cdbeadf907d58eb82f8e5440
|
3 |
+
size 244085
|
db/index/id_to_uuid_b87fed10-6865-4f48-a7d0-62a535bc5ee3.pkl
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:6c3104e6bb51d6e97398ec2932d889f09d09c3a49e479567345b492805b043bc
|
3 |
+
size 2863
|
db/index/index_b87fed10-6865-4f48-a7d0-62a535bc5ee3.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:28b3d6c549428c3c63931e7ef5f5788356a70e7438945d236d8237873e778178
|
3 |
+
size 151704
|
db/index/index_metadata_b87fed10-6865-4f48-a7d0-62a535bc5ee3.pkl
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:ae47bc68c0061896b5f435588298df84ef783a121db1b5a76e0741b897d42785
|
3 |
+
size 73
|
db/index/uuid_to_id_b87fed10-6865-4f48-a7d0-62a535bc5ee3.pkl
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:b6134d91fb78964d09a52b44c8e75f6d11f31985b7e8f4668986e45cccbb11fb
|
3 |
+
size 3346
|
env
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
OPEN_AI_KEY=sk-proj-yZH391O3W6Xk5hVL5xxOT3BlbkFJkpcqeUYhTy8yrUwB0LXl
|
gptcall.py
ADDED
@@ -0,0 +1,33 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
import requests
|
2 |
+
import json
|
3 |
+
from aaa
|
4 |
+
import openai
|
5 |
+
import configparser
|
6 |
+
from dotenv import load_dotenv
|
7 |
+
load_dotenv()
|
8 |
+
import os
|
9 |
+
# Load configuration
|
10 |
+
config = configparser.ConfigParser()
|
11 |
+
config.read('test.env')
|
12 |
+
API_KEY = config.get('API', 'OPEN_AI_KEY')
|
13 |
+
API_URL = config.get('API', 'OPEN_AI_URL')
|
14 |
+
# print(API_URL,API_KEY)
|
15 |
+
# Set the OpenAI API key
|
16 |
+
openai.api_key = API_KEY
|
17 |
+
|
18 |
+
def generate(prompt):
|
19 |
+
# print(API_URL,API_KEY)
|
20 |
+
|
21 |
+
try:
|
22 |
+
response = openai.ChatCompletion.create(
|
23 |
+
model="gpt-4-turbo",
|
24 |
+
messages=[
|
25 |
+
{"role": "system", "content": "You are a helpful assistant."},
|
26 |
+
{"role": "user", "content": prompt}
|
27 |
+
],
|
28 |
+
max_tokens=2000,
|
29 |
+
temperature=0.9
|
30 |
+
)
|
31 |
+
return response['choices'][0]['message']['content']
|
32 |
+
except Exception as e:
|
33 |
+
return str(e)
|
models/koala-7B.ggmlv3.q4_K_S.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:60621334d6f3907047c82e2bd4b72955a67a902c1edd0f6dce96cabc7bf10743
|
3 |
+
size 3791725184
|
requirements.txt
ADDED
@@ -0,0 +1,5 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
openai==0.28
|
2 |
+
configparser
|
3 |
+
gradio
|
4 |
+
spaces
|
5 |
+
python-dotenv
|
test.env
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
[API]
|
2 |
+
OPEN_AI_KEY=sk-proj-yZH391O3W6Xk5hVL5xxOT3BlbkFJkpcqeUYhTy8yrUwB0LXl
|
3 |
+
OPEN_AI_URL=https://api.openai.com/v1/completions
|