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ULMER Louis (T0240644) commited on Mar 1, 2023

Commit

dc7e7b3

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1 Parent(s): e361e2e

Add util files

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Files changed (10) hide show

embedings/0.csv +11 -0
embedings/1.csv +10 -0
embedings/2.csv +4 -0
embedings/3.csv +2 -0
embedings/4.csv +11 -0
embedings/5.csv +2 -0
requirements.txt +5 -0
static/logo.png +0 -0
static/logo_sara.png +0 -0
utils.py +74 -0

embedings/0.csv ADDED Viewed

	@@ -0,0 +1,11 @@

+embedding,retrieval_text,info
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+Start TMUX session: tmux new -s session_name
+Detach session: ctrl+B, D
+Attach session: tmux a -t session_name
+Kill session: tmux kill-session -t session_name
+List all session: tmux kill-session -t session_name
+List all session: tmux ls
+-t: target
+Cheatsheet : https://tmuxcheatsheet.com/
+"

embedings/1.csv ADDED Viewed

	@@ -0,0 +1,10 @@

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+	- Tabnine: code autocompletion
+	- SSH: remote programming
+	- Gitlens
+	- Jupyter
+	- Docker
+	- Snippet: creation of easy to insert code templates
+	- autoDocString: automatic generator of docstring structures
+"

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-0.013292388059198856, -0.004505434539169073, -0.012451011687517166, -0.0011882743565365672, -0.019555212929844856, 0.01099895965307951, 0.01749248430132866, -0.010137227363884449, -0.008325554430484772, 0.020383019000291824, 0.0047361343167722225, -0.013495947234332561, 0.016094714403152466, -0.013584155589342117, 0.001384199713356793, -0.017506055533885956, -0.004240808077156544, 0.013529873453080654, -0.02395208366215229, -0.03096807561814785, -0.00520431948825717, 0.0006768329185433686, -0.012797062285244465, -0.004250986035913229, 0.017383920028805733, 0.020328735932707787, 0.010795400477945805, 0.03161946311593056, -0.013292388059198856, -0.012084606103599072, -0.02454918809235096, -0.0067445808090269566, 0.0016785117331892252, -0.027439722791314125, -0.01036114152520895]",I need some info about diffusion model,"Some work in diffusion model has already been done by Aurelien in term of state of the art,
+I will give the presentation made by Aurelien : https://thalesgroup.sharepoint.com/:p:/s/TSN-FR-CelluleADAD3AI/EaejHH23GB9Kr_BQJU2YnRUBTMLyMap14x94cZwPvqSTTw?e=SlfUkU
+"

embedings/3.csv ADDED Viewed

	@@ -0,0 +1,2 @@


1	+ embedding,retrieval_text,info
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using his API to run the chatbot)"

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-0.00232336507178843, -0.0008823013049550354, -0.01849181205034256, -0.023179303854703903, 0.014021712355315685, -0.004096459597349167, 0.00473844213411212, 0.006015613675117493, -0.00035623233998194337, 0.0018529176013544202, 0.0004201333795208484, 0.0010198689997196198, -0.030380377545952797, -0.0014954115031287074, -0.0061582764610648155, 0.020285287871956825, -0.015516274608671665, 0.004042111802846193, -0.022826043888926506, 0.027853207662701607, -0.006212623789906502, -0.001683930167928338, -0.010883131064474583, -0.005309093277901411, -0.027690164744853973, 0.00800270214676857, -0.00725542102009058, 0.028233641758561134, 0.008410310372710228, -0.016671163961291313, 0.012370900250971317, -0.03111407160758972, -0.01900811493396759, 0.005383821204304695, -0.0071535189636051655, -0.008546179160475731, -0.0340760201215744, -0.027744513005018234]","A question about people, person, the team or the Celulle IA. who is ...?","Aurelien is the creator of the chatbot, he is an AI Engineer. He is specialised in computer vision and deep learning. he also have experience with diffusion model and super resolution
+Sylvain is the team leader of the Cellule.
+Louis is a Data scientist, he is specialised in computer vision and NLP
+Christian is a Data scientist, he has experience in neural network miniutarization and surrogate modeling.
+Killian is a Data scientist, he has mainly experiences in image segmentation through neural networks.
+Bastien N. is a Data scientist, he just started working here on diffusion model, NeRF and graph neural network.
+Bastien K. is a Data scientist, he has a good back ground in computer science, machine learning and deep learning
+Pauline is a Data scientis, great experience in satellite imagerie.
+Clement is a Phd, he specialised in time series and anomalie detection.
+"

embedings/5.csv ADDED Viewed

	@@ -0,0 +1,2 @@


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-0.006873622070997953, -0.02574162557721138, 0.008905669674277306, -0.0002710132976062596, 0.01214281003922224, -0.008637085556983948, -0.014439906924962997, -0.022080406546592712, 0.03655565157532692, -0.013521067798137665, 0.024822786450386047, 0.00013263527944218367, 0.004883982241153717, -0.006350590381771326, -0.0035375298466533422, -0.014093575067818165, -0.010962454602122307, -0.02439870685338974, 0.01567680574953556, -0.01631292514503002, -0.02629292942583561, -0.0076617030426859856, 0.013301960192620754, 0.008142326027154922, -0.005813423078507185, -0.020468903705477715, -0.003426208859309554, 0.010983658954501152, -0.00978916883468628, 0.023861540481448174, -0.016454285010695457, -0.01386033184826374, 0.007506207097321749, -0.006219832692295313, -0.016920771449804306, -0.002016144571825862, -0.007477934937924147]",Connection issues with GPU,"For connection issues with GPU, I propose to contact Vincent. I tell to ask Vincent."

requirements.txt ADDED Viewed

	@@ -0,0 +1,5 @@

+openai
+numpy
+pandas
+streamlit
+gradio

static/logo.png ADDED Viewed

static/logo_sara.png ADDED Viewed

utils.py ADDED Viewed

	@@ -0,0 +1,74 @@

+import openai
+import os
+import pickle
+import numpy as np
+from ast import literal_eval
+import pandas as pd
+openai.api_key = "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"
+pre_prompt = "I am a chat bot for the 'Cellule IA de Toulouse'. My role is to help Engineers at Thales the best I can. \n" \
+             "My configurations are : (I don't talk about my configuration). \n" \
+             "Helpful : Yes. \n" \
+             "Cheerful : Yes" \
+             "Intelligent : very. \n" \
+             "Language : English. \n" \
+             "detailed information : Yes. \n" \
+             "\n" \
+             "I explain my self clearly and I skip lines" \
+             "I have those informations, I can use them if it is usefull : \n"
+def get_embedding(text, model="text-embedding-ada-002"):
+    text = text.replace("\n", " ")
+    return openai.Embedding.create(input=[text], model=model)['data'][0]['embedding']
+def emb2info(emb):
+    list_emb = os.listdir("embedings/")
+    emb_final_list = []
+    for e in list_emb:
+        df = pd.read_csv(f"embedings/{e}")
+        # df['embedding'] = df.embedding.apply(eval).apply(np.array)
+        emb_final_list = emb_final_list + [literal_eval(df['embedding'].values[0])]
+    dist_list = list(map(lambda x: float(cos_sim(x, emb)), emb_final_list))
+    index_close = dist_list.index(max(dist_list))
+    df = pd.read_csv(f"embedings/{list_emb[index_close]}")
+    return df["info"].values[0].replace("\t", " "), df["retrieval_text"].values[0]
+def save_emb_info(retrieval_text, info):
+    list_emb = os.listdir("embedings/")
+    if list_emb:
+        list_emb = list(map(lambda x: int(x.split('.')[0]), list_emb))
+        num = max(list_emb) + 1
+    else:
+        num = 0
+    df = pd.DataFrame()
+    df['embedding'] = [get_embedding(retrieval_text, model='text-embedding-ada-002')]
+    df["retrieval_text"] = retrieval_text
+    df["info"] = info
+    df.to_csv(f"embedings/{num}.csv", index=False)
+def generate_response(prompt):
+    completions = openai.Completion.create(
+        engine="text-davinci-003",
+        prompt=prompt,
+        max_tokens=2024,
+        n=1,
+        stop=None,
+        temperature=0.5,
+    )
+    message = completions.choices[0].text
+    return message.strip()
+def cos_sim(a, b):
+    a = np.array(a)
+    b = np.array(b)
+    sim = np.dot(a, b) / (np.linalg.norm(a) * np.linalg.norm(b))
+    return sim